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Yet again, the value of $R^2$ will improve with regards to the estimator of $tau^2$ employed. Also Be aware that this statistic is barely computed once the mixed-outcomes model involves an intercept (so that the random-consequences product is Evidently nested throughout the blended-outcomes design). You can also utilize the anova.rma.uni() functionality to compute $R^two$ for just about any two types which might be regarded to get nested. How will be the Freeman-Tukey transformation of proportions and incidence charges computed?
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Homoscedasticity is visually depicted in Determine four. It seems like no consistent variance are available. Both White’s test and theBreusch-Pagan test confirm considerable. As a result we conclude that heteroscedasticity is current, and also a logarithmic transformation of your dependent variable is carried out.
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